Quality Engineering Lead

At WTW, quality is a shared responsibility and a critical enabler of successful delivery. As a Quality Engineering Lead, you will shape and lead the quality engineering strategy across a major Platform engineering function, ensuring testing and verification practices evolve alongside modern software delivery, including AI-assisted development. You will champion a shift-left, risk-based approach to quality, embed best practices across delivery teams, and build a culture where quality is engineered into every stage of the software lifecycle.

This is a leadership role with responsibility for defining quality strategy, developing talent, influencing engineering standards, and ensuring the right balance between delivery speed, risk management, and customer outcomes.

Lead quality engineering practice across Platform, embedding testing into delivery rather than gating at the end of it

Define verification approaches that scale alongside growing AI-assisted code volume

Own test strategy across a mixed portfolio of new and legacy work, applying the right approach to each

Extend testing beyond functional and regression coverage into performance, accessibility, and resilience

Partner with product, business, and engineering stakeholders to define what quality means for each initiative

Align closely with the QA Guild as Platform's primary representative, feeding standards in and cascading decisions back out

Ensure security and quality scanning are implemented to deliver the best value across the pipeline

Evaluate and select testing tools and frameworks as the landscape evolves

Feed production defect and incident learnings back into test strategy

Recruit, coach, and mentor QA engineers across the function, including embedded and partner-augmented roles

Be a leader in driving a culture of quality across Platform

Strong passion for the delivery of high-quality software

Experience defining QA strategy from the ground up as well as improving existing practices

Experience leading and growing a QA function, including hands-on recruitment

Experience managing both direct and dotted-line reporting structures

Experience addressing verification challenges specific to AI-assisted development

Hands-on with modern CI/CD, source control, and engineering metrics tooling

Familiarity with DORA quality metrics and Team Topologies team design (advantageous)

Recognised testing certification (e.g., ISTQB) or equivalent practical experience (advantageous)

What does Success Look Like?

Defect escape rate trend relative to code volume growth

Verification cycle time vs. authoring cycle time

Practice consistency and skills growth across embedded QA engineers

Guild-standard adoption and cascade consistency across Platform teams